Abstract: Technologies for determining healthcare relationships include a healthcare insight computing device communicatively coupled to multiple patient data providers. The healthcare insight computing device is configured to determine one or more relationships between received data and previously received patient data associated with one or more patients. The healthcare insight computing device is further configured to correlate the ingested data as a function of the determined relationships and enrich the correlated patient data to form a new data element. Additionally, the healthcare insight computing device is configured to transmit the new data element to a raw data cluster such that visual representations of the data elements of the raw data cluster and the relationships there between can be displayed. Additional embodiments are described herein.

Abstract: Systems and methods for extracting blood glucose patterns and suggesting a behavior may include receiving, at a computing device comprising a processor, temporal data including information regarding glucose readings; identifying, by the computing device, at least one pattern based on metabolite levels extracted from the temporal data the model including variables corresponding to each of the patterns; formulating, by the computing device, a model for predicting a metabolic response; and storing the model on a data storage device. Based on the model, the behavior may be suggested to maintain a blood glucose level within a desired range.

Abstract: The present invention is directed to a brand value growth and retention system for brand drugs commercialized by brand drug advertisers through a brand drug's lifecycle during patent exclusivity and after loss of exclusivity. The brand value growth and retention system iteratively analyzes combined computational models of consumer, healthcare provider retailer and payor segment data to produce brand drug promotional campaigns that are predictive with modifying parameters that transform the promotional campaigns over time. As a result, the brand drug promotional campaign generates an increased number of brand drug purchases while predicting the point where incremental promotional campaign investments produce a diminishing number of incremental brand drug purchases.

Abstract: The present disclosure allows continuously verifying user identity in clinical trials via a voice-based user interface. Voice input to a microphone is monitored. When an utterance in the monitored voice input is detected, voice recognition is applied to the detected utterance to determine a probability of the identity of a user uttering the detected utterance matching an identity of a previously set up clinical trial participant. When the probability satisfies a predetermined probability rule, the identity of the user is declared to be successfully verified as the previously set up clinical trial participant, and clinical trial entries are collected via a voice-based user interface while applying the voice recognition to each received clinical trial voice input.

Abstract: The invention relates to a computer-implemented method for providing a trained function (36) to determine a treatment.

Abstract: Systems and methods for utilizing machine learning to generate a trans-diagnostic classifier that is operative to concurrently diagnose a plurality of different mental health disorders using a single trans-diagnostic questionnaire that includes a plurality of questions (e.g., 17 questions). Machine learning techniques are used to process labeled training data to build statistical models that include trans-diagnostic item-level questions as features to create a screen to classify groups of subjects as either healthy or as possibly having a mental health disorder. A subset of questions is selected from the multiple self-administered mental health questionnaires and used to autonomously screen subjects across multiple mental health disorders without physician involvement, optionally remotely and repeatedly, in a short amount of time.

Abstract: The following relates to an improved system and method for displaying medical information. In one aspect, a root concepts circle including at least one clinical concept category is displayed. A children concept ring, which may be built based on a user-selected clinical concept category of the at least one clinical concept categories, may surround or partially surround the root concept circle. A ring fashion timeline may also be displayed, and may be built based on a user-selected clinical concept of the at least one clinical concepts.

Abstract: Systems, methods, and apparatus to generate and utilize predictive workflow analytics and inferencing are disclosed and described. An example predictive workflow analytics apparatus includes a data store to receive healthcare workflow data including at least one of a schedule or a worklist including a patient and an activity in the at least one of the schedule or the worklist involving the patient. The example apparatus includes a data access layer to combine the healthcare workflow data with non-healthcare data to enrich the healthcare workflow data for analysis with respect to the patient. The example apparatus includes an inferencing engine to generate a prediction including a probability of patient no-show to the activity by processing the combined, enriched healthcare workflow data using a model and triggering a corrective action proportional to the probability of patient no-show.

Abstract: A system and method for providing chronic obstructive pulmonary disease (COPD) exacerbation risk notifications in real time or near-real time is described. Rescue and controller medication events are detected by sensors associated with the patient's medicament device/s, and provide a basis to determine to rescue and controller medication use trends for the patient. This data is analyzed to determine the patient's risk for COPD exacerbation after each event, and is used to send notifications to one or both of the patient and their health care provider.

Abstract: To assist a user in the correct performance of an activity, video data is acquired. A pose of the user is determined from the video data and an avatar is generated representing the user in the pose. The pose of the user is compared to one or more other poses representing correct performance of the activity to determine one or more differences that may represent errors by the user. Depending on the activity that is being performed, some errors may be presented to the user during performance of the activity, while other errors may be presented after performance of the activity has ceased. To present an indication of an error, a specific body part or other portion of the avatar that corresponds to a difference between the user's pose and a correct pose may be presented along with an instruction regarding correct performance of the activity.

Abstract: Systems, methods and computer-readable media are provided for applying performance data (e.g., Electronic Clinical Quality Measures (eCQM), Pay-for-Performance (P4P) measures, Meaningful Use (MU) measures) to a fantasy league health exchange. In aspects, a set of patient data for patients is determined. The set of patient data corresponds to a time interval of treatment of the patients by a population of clinicians. In addition, performance data is determined. The performance data corresponds to the population of clinicians and is based on the set of patient data and the time interval. Further, a provider ranking is determined using a classification model determined from the performance data and from explanatory attributes. The provider ranking can be used to forecast or project future performance results for selected individual or group providers. Further, the provider rankings can be used for draft picks, roster submission, or bets placed in a fantasy league exchange system.

Abstract: A system is provided that is capable of processing clinical trial data from one or more sources, both structured and unstructured data, and integrate such data in a database for access by users. Further, such trial data is combined with other types of data to train an AI-based model, for the purpose of determining a probability of a particular trial outcome, among other insights. Further, the system can provide insights into optimizing this probability, for example by optimizing elements of the clinical trial design. Further, the system stores the acquired data from multiple sources and provides search, comparison, and reporting capability within a single interface.

Abstract: A system and method for securely dispensing medication are described herein. The system includes a telemedicine center that communicates with medical assistant station and a medication distribution station located at a correctional facility and a physician center remote to the correctional facility. The medical assistant station transmits a request for medication to the telemedicine center. The telemedicine center verifies an identity of the medical assistant requesting the medication and transmits the request to the physician center. When the telemedicine center receives a confirmation to dispense medicine from the physician center, an identity of the physician transmitting the confirmation is verified. The telemedicine center then verifies an identity of an inmate to receive the medication, by way of the medication distribution station, and allows the medication distribution station to dispense the medication.

Abstract: Embodiments for providing clinical practice guidelines by a processor. One or more clinical practice guidelines (CPGs) may be automatically generated according for one or more cohorts using evidence data and patient data from one or more data sources.

Abstract: A system and method for control of prescription drug packaging and dispensing machines located in an in-patient health care facility including centralized control and enhanced communication between system components. Delay and errors in processing item data in the prescription dispensing system are reduced by using concise ID data incorporated into each canister memory chip and storing canister contents data elsewhere. Canisters are configured in a pharmacy using interchangeable parts. Data being processed is synchronized by a combination of user tokens (who), data identifiers (what), and unique Ids for the entities in the system (where). The foregoing combination enables substantial efficiency improvements and error reduction.

Abstract: Embodiments of a method and system for facilitating improvement of a user condition through tailored communication with a user can include receiving a log of use dataset associated with a digital communication behavior at a mobile device, the log of use dataset further associated with a time period; receiving a mobility supplementary dataset corresponding to a mobility-related sensor of the mobile device, the mobility supplementary dataset associated with the time period; determining a tailored communication plan for the user based on at least one of the log of use dataset and the mobility supplementary dataset; transmitting, based on the tailored communication plan, a communication to the user at the mobile device; and promoting a therapeutic intervention to the user in association with transmitting the communication.

Abstract: Techniques regarding pain treatment are provided. For example, one or more embodiments described herein can comprise a system, which can comprise a memory that can store computer executable components. The system can also comprise a processor, operably coupled to the memory, and that can execute the computer executable components stored in the memory. The computer executable components can include: a data collection component that can determine at least one parameter associated with a pain perception of a subject, a computing component that can determine a relationship between the pain perception and the at least one parameter using artificial intelligence, and can determine a treatment for the subject based on the relationship; and a treatment component that can cause a device associated with the subject to apply at least a portion of the treatment.

Abstract: A sensing device monitors and tracks food intake events and details. A processor, appropriately programmed, controls aspects of the sensing device to capture data, store data, analyze data and provide suitable feedback related to food intake. More generally, the methods might include detecting, identifying, analyzing, quantifying, tracking, processing and/or influencing, related to the intake of food, eating habits, eating patterns, and/or triggers for food intake events, eating habits, or eating patterns. Feedback might be targeted for influencing the intake of food, eating habits, or eating patterns, and/or triggers for those. The sensing device can also be used to track and provide feedback beyond food-related behaviors and more generally track behavior events, detect behavior event triggers and behavior event patterns and provide suitable feedback.

Abstract: HIPAA-compliant computer security method and system for recording, using a video camera, electronic visual personal health information of at least two individuals, including an individual under care, and preventing unauthorized access of the user to the video information. The video is compared to physical attribute information of the individuals stored in the computer system's memory, and the individuals are identified by facial matching. The user's stored caseload has authorization profile information including access to individuals under care. The identified individuals are compared to the user's caseload information, and the user is granted access to part of the video of the individual under care, the video of the other individuals is blurred, and the resulting video is transmitted to the user's caseload for viewing. Data fields of an information request are populated using formatted data from the video information.

Abstract: A variable dose dispensing system may include a processor and memory. The processor secures a first container including a first dosage form of medication in a first location and a second container including a second dosage form of the medication in a second location within an automated dispensing device. The processor also receives a selection identifying an order for the medication, the order including at least a maximum amount to administer and determines that the first dosage form and the second dosage form are sufficient to provide the maximum amount. The processor also selects the first dosage form as preferable over the second dosage form based on one or more determined characteristics of the first dosage form and of the second dosage form and activates the automated dispensing device to permit access to the first location.